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Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026239/ https://www.ncbi.nlm.nih.gov/pubmed/24841551 http://dx.doi.org/10.1371/journal.pone.0097449 |
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author | Rueda-Martínez, Carmen Lamas, Oscar Mataró, María José Robledo-Carmona, Juan Sánchez-Espín, Gemma Jiménez-Navarro, Manuel Such-Martínez, Miguel Fernández, Borja |
author_facet | Rueda-Martínez, Carmen Lamas, Oscar Mataró, María José Robledo-Carmona, Juan Sánchez-Espín, Gemma Jiménez-Navarro, Manuel Such-Martínez, Miguel Fernández, Borja |
author_sort | Rueda-Martínez, Carmen |
collection | PubMed |
description | Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differentially expressed genes in diseased tissue by quantitative real-time PCR (qPCR) is an invaluable tool to fill this gap. However, studies dedicated to identify reference genes necessary for normalization of mRNA expression in aortic tissue are scarce. In this report, we evaluate the qPCR expression of six candidate reference genes in tissue from the ascending aorta of 52 patients with a variety of clinical and demographic characteristics, normal and dilated aortas, and different morphologies of the aortic valve (normal aorta and normal valve n = 30; dilated aorta and normal valve n = 10; normal aorta and BAV n = 4; dilated aorta and BAV n = 8). The expression stability of the candidate reference genes was determined with three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable genes for the three algorithms employed were CDKN1β, POLR2A and CASC3, independently of the structure of the aorta and the valve morphology. In conclusion, we propose the use of these three genes as reference genes for mRNA expression analysis in human ascending aorta. However, we suggest searching for specific reference genes when conducting qPCR experiments with new cohort of samples. |
format | Online Article Text |
id | pubmed-4026239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40262392014-05-21 Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta Rueda-Martínez, Carmen Lamas, Oscar Mataró, María José Robledo-Carmona, Juan Sánchez-Espín, Gemma Jiménez-Navarro, Manuel Such-Martínez, Miguel Fernández, Borja PLoS One Research Article Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differentially expressed genes in diseased tissue by quantitative real-time PCR (qPCR) is an invaluable tool to fill this gap. However, studies dedicated to identify reference genes necessary for normalization of mRNA expression in aortic tissue are scarce. In this report, we evaluate the qPCR expression of six candidate reference genes in tissue from the ascending aorta of 52 patients with a variety of clinical and demographic characteristics, normal and dilated aortas, and different morphologies of the aortic valve (normal aorta and normal valve n = 30; dilated aorta and normal valve n = 10; normal aorta and BAV n = 4; dilated aorta and BAV n = 8). The expression stability of the candidate reference genes was determined with three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable genes for the three algorithms employed were CDKN1β, POLR2A and CASC3, independently of the structure of the aorta and the valve morphology. In conclusion, we propose the use of these three genes as reference genes for mRNA expression analysis in human ascending aorta. However, we suggest searching for specific reference genes when conducting qPCR experiments with new cohort of samples. Public Library of Science 2014-05-19 /pmc/articles/PMC4026239/ /pubmed/24841551 http://dx.doi.org/10.1371/journal.pone.0097449 Text en © 2014 Rueda-Martínez et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rueda-Martínez, Carmen Lamas, Oscar Mataró, María José Robledo-Carmona, Juan Sánchez-Espín, Gemma Jiménez-Navarro, Manuel Such-Martínez, Miguel Fernández, Borja Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title | Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title_full | Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title_fullStr | Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title_full_unstemmed | Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title_short | Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta |
title_sort | selection of reference genes for quantitative real time pcr (qpcr) assays in tissue from human ascending aorta |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026239/ https://www.ncbi.nlm.nih.gov/pubmed/24841551 http://dx.doi.org/10.1371/journal.pone.0097449 |
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